Modeled Benefit of Individual Cancer Signal Origin Prediction for Multi-Cancer Early Detection
MCED tests may detect a signal from many cancers. Predicting an anatomic location from which the cancer signal may originate allows effective, usual diagnostic workup. In this study, we show that these predictions are beneficial to physicians choosing a diagnostic path, even for uncommon cancer types and among populations with differing cancer risks.
Authors
- Christina A. Clarke (ORCID: https://orcid.org/0000-0002-7515-2549)
- Timothy R. Church (ORCID: https://orcid.org/0000-0003-3292-5035)
- Earl Hubbell (ORCID: https://orcid.org/0000-0001-7301-3759)
- Eric A. Klein
Institutions
- University of Minnesota (US)
- University of Minnesota System (US)
- Menlo School (US)
- Meta (United States) (US)
- ATUM (United States) (US)
- Grail (United States) (US)
- Minnesota Department of Health (US)
Publication Details
- Journal
- Cancer Research Communications
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1158/2767-9764.crc-24-0351
- Citations
- 1
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.94